{ "_id": "6a101de8acfb0bcc41c8a787", "Package": "psHarmonize", "Title": "Creates a Harmonized Dataset Based on a Set of Instructions", "Version": "0.3.6", "Authors@R": "c(person(given = \"John\",\nfamily = \"Stephen\",\nrole = c(\"aut\", \"cre\"),\nemail = \"John.Stephen@northwestern.edu\",\ncomment = c(ORCID = \"0000-0001-7309-9193\")),\nperson(given = \"Maxwell\",\nfamily = \"Mansolf\",\nrole = \"ctb\",\nemail = \"maxwell.mansolf@northwestern.edu\",\ncomment = c(ORCID = \"0000-0001-6861-8657\")))", "Description": "Functions which facilitate harmonization of data from\nmultiple different datasets. Data harmonization involves taking\ndata sources with differing values, creating coding\ninstructions to create a harmonized set of values, then making\nthose data modifications. 'psHarmonize' will assist with data\nmodification once the harmonization instructions are written.\nCoding instructions are written by the user to create a\n\"harmonization sheet\". This sheet catalogs variable names,\ndomains (e.g. clinical, behavioral, outcomes), provides R code\ninstructions for mapping or conversion of data, specifies the\nvariable name in the harmonized data set, and tracks notes. The\npackage will then harmonize the source datasets according to\nthe harmonization sheet to create a harmonized dataset. Once\nharmonization is finished, the package also has functions that\nwill create descriptive statistics using 'RMarkdown'. Data\nHarmonization guidelines have been described by Fortier I,\nRaina P, Van den Heuvel ER, et al. (2017)\n. Additional details of our R package\nhave been described by Stephen JJ, Carolan P, Krefman AE, et\nal. 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